Practical AI governance you can actually put in place
This is a hands-on, self-paced course for people responsible for how their organisation uses AI. It goes beyond principles to the real work: the roles and bodies, the policies, the risk process, the impact assessments and the assurance that make governance run day to day. No technical background is needed.
Who it is for
Governance, risk and compliance professionals, and anyone accountable for AI use, including transformation, legal, data protection, audit and operations. No coding or data-science background required.
How it works
Fully self-paced. Work through the nine modules in order, or go straight to the ones you need. Each is a self-contained lesson with a worked example, a real case study, templates to adapt, and a short quiz to check understanding.
- Explain what AI governance is, why it matters, and who does what
- Navigate the law and the main frameworks, the EU AI Act, the UK approach, NIST and ISO/IEC 42001
- Stand up an operating model: roles, bodies, a policy and a RACI
- Run AI risk management, including impact assessments and incident response
- Make responsible AI real: fairness, transparency and the right to challenge
- Govern the data foundation, agentic and frontier AI, and assurance and maturity
Built on the frameworks organisations actually use
The course draws throughout on the recognised sources, the EU AI Act and the UK approach, the NIST AI Risk Management Framework and ISO/IEC 42001, and the UK data-protection regime, and turns them into practices and templates rather than theory. Every module is illustrated with a real, well-documented case study.
Nine modules, from foundations to making it stick
Each module stands on its own, with content, a worked example, a real case study, templates you can adapt, and a knowledge-check quiz.
Foundations of AI Governance
What AI governance is, why it matters, and the core concepts, roles and language.
The Regulatory Landscape
The EU AI Act, the UK approach and the wider rules shaping how AI can be used.
Governance Frameworks and Standards
The NIST AI Risk Management Framework, ISO/IEC 42001 and how to use them.
The Governance Operating Model
Roles, bodies, policies and a RACI that turn governance into something that runs.
AI Risk Management
Identify, assess, treat and monitor AI risk, with impact assessments and incident response.
Responsible AI in Practice
Fairness, transparency and the right to challenge, made operational rather than aspirational.
Data Governance, Privacy and Security
The data foundation: quality, lawful use and the security risks specific to AI.
Governing Agentic and Frontier AI
Guardrails for AI that can take actions, and governing the capability frontier.
Assurance, Monitoring and Maturity
Knowing your governance works, measuring it, and making it stick over time.
Content, case studies and templates you can use
The course is built to be applied, not just read. Alongside the teaching, every module comes with working documents you can adapt for your own organisation.
- Nine self-paced modules of original, practical content
- A worked example and a real, well-documented case study in every module
- Working templates, including an AI policy and charter, a RACI, a risk register, a DPIA and fundamental-rights assessment, an incident-response playbook, responsible-AI and security checklists, agentic guardrails and a maturity self-assessment
- A knowledge-check quiz with answers and explanations in every module
- Written for governance, risk and compliance professionals, no technical background needed
Full access to all nine modules, templates and quizzes, worked at your own pace.
Roll the course out across a team, with options to tailor it to your organisation. Enquire for details.
This course is educational and is not legal advice. It helps you build and run AI governance; for high-stakes or regulated uses, take professional advice.
Good to know
Do I need a technical or legal background?
No. The course is written for governance, risk and compliance professionals and anyone accountable for AI use. It explains the concepts, the law and the frameworks in plain language, and turns them into practical steps.
Is it self-paced or live?
It is fully self-paced. You work through the nine modules in your own time, in order or by picking the ones you need. Each module is self-contained.
What comes with each module?
Teaching content, a worked example, a real case study, one or more templates you can adapt, and a short knowledge-check quiz with answers and explanations.
What will I be able to do afterwards?
Set up an AI governance operating model, run AI risk management and impact assessments, make responsible AI practical, govern data and newer agentic AI, and put assurance in place, using the templates as your starting point.
Can my team take it together?
Yes. There are team and in-house options, including tailoring the course to your organisation. Get in touch and we will set it up.
How much does it cost?
Individual and team options are available. Enquire and we will recommend the right option and provide a quote.
Interested in the AI Governance course?
The course is coming soon. Tell us a little about you or your team and what you want from AI governance, and we will let you know when it opens.
Register your interest by email